Papers by Zengshu Ye
B-APO: Bias-Targeted Adversarial Preference Optimization for Debiasing Multimodal Large Language Models (2026.findings-acl)
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| Challenge: | Existing debiasing methods create biased responses by completely removing an entire modality, forming an extreme and static training environment. |
| Approach: | They propose a method to debiase multimodal large language models by masking one modality and then enlarge the margin between clean and adversarial responses. |
| Outcome: | The proposed method achieves superior debiasing performance while maintaining general capabilities. |